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Data & AI Product Delivery Lead (R&D & Medical)

150 000 - 210 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data & AI Product Delivery Lead (R&D & Medical) (AI and Life Sciences): Leading data and AI initiatives across R&D and Medical, from roadmap definition and product delivery through operational handover, with an accent on portfolio management, data governance, and enterprise stakeholder alignment. Focus on building cross-functional delivery teams, scaling MVPs into secure and compliant products, and driving adoption through change management.

Location: Cambridge, United States

Annual base salary: $150,000–$210,000, plus eligibility for a short-term incentive program.

Company

Global biopharmaceutical company focused on transformative medicines in oncology, rare disease, and neuroscience.

What you will do

  • Act as the primary liaison between Global Data & AI, R&D, Medical, and GDIT business partners.
  • Create strategic roadmaps and manage the portfolio of Data & AI initiatives.
  • Lead initiatives from demand discovery and requirements definition through MVP development, scaling, operations, and handover.
  • Translate business needs into data requirements, product specifications, architecture options, and delivery plans.
  • Build cross-functional teams and oversee delivery quality, budget, timelines, security, compliance, and value realization.
  • Drive adoption through stakeholder engagement, training, communications, and change management.

Requirements

  • Master’s degree in data science, computer science, information technology, business administration, or a related field.
  • 7+ years of experience managing data initiative products and enterprise-wide cross-functional initiatives.
  • Proficient in English and French.
  • Experience with R&D and Medical data transformation in the pharmaceutical industry, project and portfolio management, Agile methods, and software development lifecycles.
  • Knowledge of data analysis and management, including SQL, Python, AI, machine learning, software engineering, cloud platforms, and technical architecture.
  • Experience with AWS, Azure, Jira, Confluence, UX/UI design, and solution design.

Nice to have

  • Experience in the pharmaceutical or life sciences industry.
  • Familiarity with enterprise architecture concepts and Microsoft 365.

Culture & Benefits

  • Comprehensive employee benefits package with 401(k) company contributions.
  • Medical, dental, vision, life, disability, and flexible spending account coverage.
  • Parental leave, paid time off, discretionary winter shutdown, well-being allowance, and commuter benefits.
  • Inclusive workplace focused on collaboration, employee development, and equal opportunities.

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